iPhone 13 Pro
Geekbench AI Score
3186
Single Precision Score
5797
Half Precision Score
4739
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 03 2025 06:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone 13 Pro |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1272
236.5 IPS |
|
|
Image Classification (HP)
|
100% |
2408
447.9 IPS |
|
|
Image Classification (Q)
|
96% |
1673
312.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1270
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1972
32.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2463
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6139
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
14648
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12423
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1352
107.3 IPS |
|
|
Object Detection (HP)
|
97% |
2764
220.0 IPS |
|
|
Object Detection (Q)
|
94% |
1979
157.8 IPS |
|
|
Face Detection (SP)
|
100% |
2636
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
5712
67.9 IPS |
|
|
Face Detection (Q)
|
100% |
3236
38.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5289
40.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10623
82.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7499
58.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17493
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27638
35.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22985
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3663
135.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4756
175.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3701
136.7 IPS |
|
|
Text Classification (SP)
|
100% |
2583
3.45 KIPS |
|
|
Text Classification (HP)
|
99% |
4207
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4131
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3485
60.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6644
114.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6623
114.4 IPS |
